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Most projects don’t fail because of execution.
They fail because structure shows up too late.
When teams rely on memory instead of process, momentum breaks.
Clear documentation isn’t bureaucracy it’s leverage. It removes ambiguity, speeds decisions, and keeps teams aligned when pressure rises.
The best operators don’t manage chaos.
They design systems that make progress predictable.
What’s one project artifact you rely on most to keep execution on track?
#ProjectManagement #Leadership #BusinessTips #PMTools #ProductivityHacks
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Discover how our plans to build one of the world’s largest carbon capture hubs could help lower the emissions of heavy industry now and in the future.
Explore our carbon capture roadmap.
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Problems are puzzles waiting for solutions Every challenge presents an opportunity for innovation and growth
Solutions often require thinking outside the box embracing creativity commitment persistence or seeking assistance
Automation tools are readily available for businesses empowering users with limited or no technical or programming skills
Organizations that delay digital transformation risk obsolescence in today's rapidly evolving landscape
Optimizing our processes accelerates customer delivery and drives business success
Continuous evolution through problem-solving and innovative thinking is key to achieving our goals
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Modern systems move fast — but visibility shouldn’t fall behind. Watch this short demo video to see how the AI-powered Grafana Assistant in Grafana Cloud brings context-aware observability to your stack. What you’ll learn: 🧠 How Grafana Assistant reads your dashboards, data sources, and metrics to deliver grounded, real-time answers ⚡ How to automatically create dashboards, alerts, and queries — no manual setup or PromQL expertise needed 🌐 How Grafana Cloud combines open source foundations with AI to deliver transparency, trust, and speed See Grafana Assistant in action as we deploy an open-source Python service with Kafka, Postgres, Kubernetes, and Prometheus — and let AI do the heavy lifting.
Getting Started with Grafana Assistant for Observability: Available in Grafana Cloud
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Prima di ogni decisione ci sono migliaia di dati da analizzare. È quello che fa Francesco, geofisico in Eni, che usa il supercalcolo di HPC6 per trasformare le onde sismiche del sottosuolo in immagini. Un tempo servivano mesi, ora bastano pochi giorni. È così che la tecnologia supporta la conoscenza.
#HPC6 #supercomputer
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Dear Recruiters, I’ve applied for many positions. I’ve revised my CV again and again. I’ve worked on improving my skills. I’ve prepared seriously for interviews. Yet, most of the time, there is no response. I’m not asking for opportunities without effort. I’m asking for feedback. If candidates are rejected, please let them know why. So they can learn. So they can get better. So they can grow. Not everyone shines in an interview room. But many people prove their value once they start working. Talent isn’t always loud or confident in words. Some people struggle to express themselves verbally, but their actions speak far louder. 📌 One interview should not decide someone’s entire future. 📌 True potential is shown through performance, not just conversation. Please give deserving candidates a fair chance.
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Haseeb Tariq commented on this
AI & Machine Learning Engineer Jobs in Saudi Arabia
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What’s next in grid modernization?
Power systems must balance reliability, flexibility, and efficiency while expanding capacity to support the energy transition.
Hitachi Energy delivers innovative power grid technologies with digital at the core improving stability, reducing downtime, and optimizing performance at every level.
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Lead the energy transition with Hitachi Energy
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Secret AI tools that no one talks about.
Most people use 1 AI tool.
Top creators use a stack.
Here’s a simple AI setup that replaces entire workflows:
1️⃣ Deep Research
Grok – Real-time insights + trend discovery
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2️⃣ AI Presentations
Gamma – Turn ideas into polished decks in minutes
https://gamma.app
3️⃣ AI Code Generation
Gemini – Strong reasoning for dev + automation tasks
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♻️ Repost to save this stack and share it with audience.
Follow Hamza Khalid Khalid for daily AI workflows that actually work.
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Eni likes this
We’re pleased to announce Eni as an official Event Partner of the 2nd Annual Clean Energy Transition Conference.
Eni is a global energy technology company operating in 64 countries with more than 31,000 employees. Originally established as an oil and gas company, Eni has evolved into an integrated energy company, playing a key role in ensuring energy security while leading the energy transition. Eni’s ambition is to achieve carbon neutrality by 2050, through the decarbonisation of its operations and of the products it provides to its customers. To support this goal, Eni invests significantly in research and development of technologies that can accelerate the transition towards more sustainable energy systems. Its activities span renewable energy, bio-refining, and carbon capture and storage, among others. In parallel, Eni is also exploring game-changing technologies such as fusion energy — a technology inspired by the processes powering stars, with the potential to deliver safe, virtually limitless, zero-emission energy.
📅 Join us on 5th March in Brussels, where Eni and other leaders from industry and policymaking will explore how Europe can deliver a secure, competitive, and decarbonised energy future.
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𝗠𝘆 𝗘𝘅𝗮𝗺 𝗣𝗿𝗲𝗽 𝗡𝗼𝘁𝗲𝘀: 𝗡𝘂𝗺𝗣𝘆, 𝗣𝗮𝗻𝗱𝗮𝘀, & 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 🐍
I’ve been organizing my study materials for my 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗳𝗼𝗿 𝗔𝗜 course exam and wanted to share the consolidated notes I wrote up for the core Python stack.
Sometimes documentation can be dry, so these notes focus on the conceptual differences and practical "𝘄𝗵𝘆" behind the code. I covered everything from 𝗡𝘂𝗺𝗣𝘆 array generation and vectorization to 𝗣𝗮𝗻𝗱𝗮𝘀 DataFrame operations and cleaning.
I also spent some time breaking down the visualization landscape, specifically the difference between 𝗠𝗮𝘁𝗽𝗹𝗼𝘁𝗹𝗶𝗯 (the engine) and 𝗦𝗲𝗮𝗯𝗼𝗿𝗻 (the luxury car), and when to use which for the best results.
If you are currently reviewing these libraries or just need a quick cheat sheet for 𝘀𝘆𝗻𝘁𝗮𝘅 and 𝗰𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻𝘀, I hope this PDF helps!
𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗼𝗿: Samraiz Zahid
𝗔𝘂𝘁𝗵𝗼𝗿: Humna Imran
#DataScience #Python #StudyNotes #ExamPrep #NumPy #Pandas #DataVisualization
Programming for AI Notes
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